CDN

Content Delivery Network (CDN) Helm Deployment

Project Overview

A lightweight CDN implementation with three core components:

• Video Storage Server (Nginx pod with persistent storage)
• Cache Layer (Redis pod)
• Frontend Service (Flask app with Nginx proxy)

Note: This is a practice project that can be production-ready with additional security and scaling configurations.

Prerequisites

• Kubernetes cluster (Minikube, Kind, or cloud provider)
• Helm v3+
• kubectl configured

Deployment

Demo

Helm Installation (Recommended)

# Add Helm repository
helm repo add cdn https://prabhanjanvs.github.io/CDN/directdeploy/charts
helm repo update

# Install the chart
helm install cdn-deployment cdn/directdeploy --version 0.1.2

### Manual Video Upload

bash

# Download sample video
wget https://download.blender.org/peach/bigbuckbunny_movies/BigBuckBunny_640x360.m4v -O video.mp4

# Upload to storage
kubectl apply -f - <<EOF
apiVersion: v1
kind: Pod
metadata:
  name: video-uploader
spec:
  containers:
  - name: uploader
    image: nginx:alpine
    volumeMounts:
    - name: nginx-storage
      mountPath: /usr/share/nginx/html
  volumes:
  - name: nginx-storage
    persistentVolumeClaim:
      claimName: nginx-storage
EOF

kubectl cp video.mp4 video-uploader:/usr/share/nginx/html/video.mp4

## Accessing the Service

bash

kubectl get svc cdn-deployment-nginx-service

Open  `http://<NODE_IP>:<NODEPORT>`  in your browser to view the video.

Architecture Details

Component	Technology	Port	Description
Video Storage	Nginx	80	Hosts video files with persistent storage
Cache Layer	Redis	6379	Temporary video metadata caching
Frontend	Flask+Nginx	5000	Streams videos through Nginx proxy

graph TD
    A[User] <--> B[Flask Frontend:5000]
    B <--> C[Nginx Server:80]
    B <--> D[Redis Cache:6379]
    C <--> E[(Persistent Storage)]

Chart Type	Location	Purpose
Direct Deployment	/directdeploy	Zero-config production setup
Configurable	/helm	Customizable deployment

Scaling to Production

1. Add TLS termination

2. Configure Redis persistence

3. Implement horizontal pod autoscaling

4. Add monitoring (Prometheus metrics)